Ashkan Esmaeili

According to our database, Ashkan Esmaeili authored at least 21 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Low-Rank and Sparse Decomposition for Low-Query Decision-Based Adversarial Attacks.

Ashkan Esmaeili, Marzieh Edraki, Nazanin Rahnavard, Ajmal Mian, Mubarak Shah

IEEE Trans. Inf. Forensics Secur., 2024

2022

Spectrum Pursuit With Residual Descent for Column Subset Selection Problem: Theoretical Guarantees and Applications in Deep Learning.

Saeed Vahidian, Mohsen Joneidi, Ashkan Esmaeili, Siavash Khodadadeh, Sharare Zehtabian, Bill Lin

IEEE Access, 2022

RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection.

Umar Khalid, Ashkan Esmaeili, Nazmul Karim, Nazanin Rahnavard

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

CNLL: A Semi-supervised Approach For Continual Noisy Label Learning.

Nazmul Karim, Umar Khalid, Ashkan Esmaeili, Nazanin Rahnavard

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Generative Model Adversarial Training for Deep Compressed Sensing.

Ashkan Esmaeili

CoRR, 2021

LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack.

Ashkan Esmaeili, Marzieh Edraki, Nazanin Rahnavard, Mubarak Shah, Ajmal Mian

CoRR, 2021

Two-Way Spectrum Pursuit for CUR Decomposition and its Application in Joint Column/Row Subset Selection.

Ashkan Esmaeili, Mohsen Joneidi, Mehrdad Salimitari, Umar Khalid, Nazanin Rahnavard

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

2020

Missing Low-Rank and Sparse Decomposition Based on Smoothed Nuclear Norm.

Masoumeh Azghani, Ashkan Esmaeili, Kayhan Behdin, Farokh Marvasti

IEEE Trans. Circuits Syst. Video Technol., 2020

Transductive multi-label learning from missing data using smoothed rank function.

Ashkan Esmaeili, Kayhan Behdin, Mohammad Amin Fakharian, Farokh Marvasti

Pattern Anal. Appl., 2020

Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds.

Mohsen Joneidi, Saeed Vahidian, Ashkan Esmaeili, Weijia Wang, Nazanin Rahnavard, Bill Lin, Mubarak Shah

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

A Novel Approach to Quantized Matrix Completion Using Huber Loss Measure.

Ashkan Esmaeili, Farokh Marvasti

IEEE Signal Process. Lett., 2019

2018

Iterative null space projection method with adaptive thresholding in sparse signal recovery.

Ashkan Esmaeili, Ehsan Asadi Kangarshahi, Farokh Marvasti

IET Signal Process., 2018

A Novel Approach to Sparse Inverse Covariance Estimation Using Transform Domain Updates and Exponentially Adaptive Thresholding.

Ashkan Esmaeili, Farokh Marvasti

CoRR, 2018

Recovering Quantized Data with Missing Information Using Bilinear Factorization and Augmented Lagrangian Method.

Ashkan Esmaeili, Kayhan Behdin, Sina Al-E.-Mohammad, Farokh Marvasti

CoRR, 2018

Transduction with Matrix Completion Using Smoothed Rank Function.

Ashkan Esmaeili, Kayhan Behdin, Mohammad Amin Fakharian, Farokh Marvasti

CoRR, 2018

2017

OBTAIN: Real-Time Beat Tracking in Audio Signals.

Ali Mottaghi, Kayhan Behdin, Ashkan Esmaeili, Mohammadreza Heydari, Farrokh Marvasti

CoRR, 2017

New Methods of Enhancing Prediction Accuracy in Linear Models with Missing Data.

Mohammad Amin Fakharian, Ashkan Esmaeili, Farokh Marvasti

CoRR, 2017

2016

Iterative Null-space Projection Method with Adaptive Thresholding in Sparse Signal Recovery and Matrix Completion.

Ehsan Asadi, Ashkan Esmaeili, Farokh Marvasti

CoRR, 2016

Comparison of several sparse recovery methods for low rank matrices with random samples.

Ashkan Esmaeili, Farokh Marvasti

Proceedings of the 8th International Symposium on Telecommunications, 2016

Fast methods for recovering sparse parameters in linear low rank models.

Ashkan Esmaeili, Arash Amini, Farokh Marvasti

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2014

Optimizing sensing duration for multiple secondary users in cognitive radio networks.

Ashkan Esmaeili, Saeed Mashhadi

Proceedings of the Iran Workshop on Communication and Information Theory, 2014